Akshay Kumar Jain

• Building multi-region AWS and Kubernetes infrastructure utilizing IaC and GitOps practices
• Build and optimize CI/CD pipelines and self-service tools, boosting deployments for 70+ developers
• Drive cloud security, governance, and cost optimization, reducing AWS spend
• Implement observability with Loki, Prometheus, Grafana, and automated alerting for system reliability
• Develop disaster recovery, high availability, and security protocols using AWS-native and third-party tools
• Standardize dev environments and infrastructure templates, cutting setup time from days to hours

• Built Kubernetes infrastructure on AWS from ground up, prioritizing open-source solutions for Green-Tech startup
• Implemented GitOps-based CI/CD pipelines, enabling automated deployments and reducing release time from days to hours
• Established infrastructure as code using Terraform and Helm charts for all cloud resources and applications
• Created self-service developer platform with automated environment provisioning and monitoring
• Set up cost monitoring and resource optimization for AWS services, maintaining startup-friendly cloud spend

• Assumed responsibility for end-to-end DevOps operations for DNB's new investment advisory platform
• Introduced and Implemented Infrastructure As Code using Terraform
• Automated the intricate deployment process of a Windows based third-party vendor product
• Implemented robust monitoring practices by configuring multiple dashboards for visual monitoring

• Collaborated with senior DevOps engineers to automate deployment processes and optimize cloud infrastructure
• Assisted in implementing and maintaining CI/CD pipelines for efficient software delivery
• Worked closely with the development team to support their needs and provide technical assistance in DevOps practices
• Gained valuable experience in enterprise-level financial technology infrastructure

• Developed and maintained high-frequency trading system backend with focus on low-latency and reliability
• Optimized critical trading paths through code profiling, reducing transaction processing time by 30-40%
• Built monitoring and alerting for trading system performance metrics and business KPIs
• Led incident response team for production issues, maintaining strict SLAs for financial transactions

Strong foundation in computer science principles, algorithms, and software engineering practices.